Author: Zen and the Art of Computer Programming
In recent years, artificial intelligence technology has also received widespread attention in the healthcare field. Artificial intelligence helps diagnose patients' diseases more accurately, treat diseases, improve the quality of doctors' work, improve patient satisfaction, and reduce medical costs. However, due to various limitations and uncertainties of AI, artificial intelligence also faces many challenges. Therefore, how to correctly deploy artificial intelligence technology in the healthcare field and improve and evaluate it from the perspective of medical services is an important topic. There are some problems with the traditional healthcare industry:
- Excessive patient mortality
- Preventive care management is difficult
- Spending huge amounts of manpower and material resources
- Lack of professional technical support. Artificial intelligence can help doctors identify patients' diseases in advance, reduce patient loss, and provide accurate treatment, thereby improving patient experience and life safety. In addition, through new technologies such as "Internet +", healthcare institutions can improve employees' professional skills, reduce operating costs, and improve efficiency. The healthcare industry also faces the following challenges:
- Data silo problem: There are deviations, inconsistencies, and uneven quality in medical data between different institutions;
- Cognitive diseases: Due to the complexity of medical workflow, various aspects such as the patient's mental state and environmental factors affect the doctor's decision-making process;
- Critical care issues: When a patient reaches a critical state, adequate and timely and comprehensive treatment measures are required;
- Exploration in the field of sustainable medical care: More and more studies show that the key to sustainable medical care lies in serving people's own health and maintaining a healthy culture. How to effectively integrate artificial intelligence, medical science, and social science knowledge and apply it to medical care field, promoting the development of sustainable medical industry, is gradually becoming a common trend in medical care. Based on the above background introduction, we believe that we should summarize and elaborate on the limitations, current main problems, and future development directions of artificial intelligence technology in the medical care field.
2. Explanation of basic concepts and terms
Artificial